Machine learning: How to go from theory to reality

Machine learning lessons: 5 companies share their mistakes Email not displaying correctly? View it in your browser.

InfoWorld Daily Nov 23, 2018 Machine learning: How to go from theory to reality A lack of skilled people continues to stymie the AI revolution. That's why smart companies invest as much in cultural change as technology adoption—and Google shows how Read More ▶ Your Must-Read Stories • Machine learning lessons: 5 companies share their mistakes • 6 ways to make machine learning fail • 7 cloud services to ease machine learning • How to use Azure ML in Windows 10 • How to use Knime for data science • Review: MXNet deep learning shines with Gluon • Review: Keras sails through deep learning White Paper: Bitsight How Automating Third-Party Risk Management Helps Banks and Financial Institutions Address New Regulatory Requirements Banks & financial firms have long been aware of the need to manage risk in third-party partners & most have a formal program for managing that risk. Yet an existing thirdparty risk management (3PRM) program may not address today's increased levels of outsourcing & new regulatory requirements for cybersecurity. Together, these factors are prompting financial institutions to take a fresh look at the strengths & focus of their 3PRM strategy. Read More ▶ Machine learning lessons: 5 companies share their mistakes Machine learning can also go terribly wrong, making you regret that enthusiastic rush to adopt Read More ▶ 6 ways to make machine learning fail When learning, machine learning will make mistakes. Adopters need to anticipate that—and be careful not to make matters worse through human mistakes by IT and business Read More ▶ 7 cloud services to ease machine learning Build, train, tune, and deploy machine learning and deep learning models in these end-to-end machine learning clouds Read More ▶ How to use Azure ML in Windows 10 With local machine learning support, there's no need to worry about shipping data to cloud services, especially where bandwidth or data protection can be an issue Read More ▶ How to use Knime for data science Free, open-source Knime allows you to visually assemble data processing "nodes" into machine learning, deep learning, and other analytics workflows Read More ▶ Review: MXNet deep learning shines with Gluon With the addition of the high-level Gluon API, Apache MXNet rivals TensorFlow and PyTorch for developing deep learning models Read More ▶ Review: Keras sails through deep learning Keras sequential models make deep neural network modeling about as simple as it can be Read More ▶ White Paper: Hitachi ID Systems, Inc. Securing Privileged Access with Hitachi ID Privileged Access Manager (PAM) Privileged accounts, like their name suggests, are accounts designed to provide broad access to systems and data. They are an integral part of every IT infrastructure and play a key role in a large variety of day-to-day operations. Read More ▶ Get the Deep Technology Insights You Need Get ongoing access to our exclusive Insider content: in-depth articles available only to Insider members. You get access not only to InfoWorld's Insider content but to selected Insider content from Computerworld, CIO.com, Network World, CSO, and other IDG publications. Sign up at no cost today! ▶

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